2020 was a yr in contrast to another, and all its unexpectedness introduced foundational enterprise know-how into the highlight. Companies wanted their databases to be dependable, scalable, and constantly well-performing. In consequence, migration plans accelerated, inflexible licensing fell additional out of favor, and transformative software growth sped up. This was clear even in 2019, when cloud database administration system (DBMS) revenues have been $17 billion, up 54% from 2018, in keeping with Gartner Predicts. We’ll be wanting to see what Gartner reviews from 2020, however from our perspective, development accelerated considerably this yr. 

We consider that our information imaginative and prescient of openness and adaptability was mirrored within the first-ever DBMS Magic Quadrant this yr. Gartner named Google Cloud a Leader in DBMS for 2020. 

We heard from clients throughout industries that this was the yr they began or stepped up their database modernization. To assist them meet their mission-critical targets, Google Cloud continued to launch new merchandise and options. Right here’s what was new and notable this yr.

New choices, new flexibility entered the cloud database scene

Database migration service now obtainable for Cloud SQL
Database migrations generally is a problem for enterprises. We give our clients a uniquely simple, safe, and dependable expertise with the latest launch of our serverless Database Migration Service (DMS), which offers high-fidelity, minimal downtime migrations for MySQL and PostgreSQL workloads and is designed to be actually cloud-native. Our blog announcing the launch has extra information, and steps to get you began. 

SQL Server, managed within the cloud
Enterprise firms usually inform us how essential the power emigrate to Cloud SQL for SQL Server is to their bigger targets of infrastructure modernization and a multi-cloud technique. Cloud SQL for SQL Server is now usually obtainable globally that will help you maintain your SQL Server workloads operating. Our blog on the subject lists the 5 steps to get began migrating, a hyperlink to the full migration guide, and a useful video for extra particulars. 

Naked Steel Resolution for Oracle databases comes to 5 new Google Cloud areas
Bare Metal Solution lets companies run specialised workloads corresponding to Oracle databases in Google Cloud Regional Extensions, whereas reducing general prices and lowering dangers related to migration. Final yr we announced the supply of Naked Steel Resolution in 5 extra areas: Ashburn, Virginia; Frankfurt; London; Los Angeles, California; and Sydney. We additionally launched four more sites this yr: Amsterdam, São Paulo, Singapore, and Tokyo. 

Clients did wonderful issues with cloud databases in 2020

We’ve seen some clear traits emerge in cloud migration. We’ve seen clients observe what we’re referring to as a three-phase journey: migration, after they transition giant industrial and open supply databases; modernization, which includes transferring from legacy to open supply databases; and transformation, constructing next-gen functions and opening up new prospects. Wherever you might be on this journey, Google Cloud is concentrated on supporting you with the providers, greatest practices, and tooling ecosystem to allow your success.

At pharmaceutical and pharmacy know-how large McKesson, teams chose Cloud SQL to modernize their legacy surroundings. 3D printing and design firm Makerbot shared how they architected Google Cloud’s tightly built-in instruments—together with Google Kubernetes Engine (GKE), Pub/Sub, and Cloud SQL—for an revolutionary autoscaling answer.

We heard from Bluecore, developer of a advertising and marketing platform for giant retailers that delivers campaigns by means of predictive information fashions, about how they turned to Cloud SQL for a totally managed answer that provided marketing campaign creation performance with out slowing down the retail model’s web site. Clients like Handshake, provider of a platform to connect universities, additionally selected a Cloud SQL migration. Monetary options supplier Freedom Financial Network switched from Rackspace to Cloud SQL to fulfill rising demand. 

And at Google Cloud Subsequent ‘20: OnAir, we heard from ShareChat and The New York Times about the successes they’ve discovered utilizing our cloud-native databases. We additionally heard from Khan Academy, which uses Cloud Firestore to assist meet the rising demand for on-line studying. 

Enterprise readiness arrived for open supply databases

Within the occasion of a regional outage in Google Cloud, you need your software and database to shortly begin serving your clients in one other obtainable area. This yr, we launched Cloud SQL cross-region replication, obtainable for MySQL and PostgreSQL database engines. We’ve labored intently with Cloud SQL clients dealing with enterprise continuity challenges to simplify the expertise, and our weblog explains how to get started and presents a have a look at how Main League Baseball places cross-region replication to make use of.

As well as, Cloud SQL added dedicated use reductions in addition to extra upkeep controls, serverless exports, and point-in-time-recovery for Postgres.

This previous fall, we introduced that Cloud SQL now helps MySQL 8. You now have entry to quite a lot of highly effective new options for higher productiveness—corresponding to prompt DDL statements (e.g. ADD COLUMN), atomic DDL, privilege assortment utilizing roles, window capabilities, and prolonged JSON syntax. Take a look at the full list of new features

Cloud SQL database service provides PostgreSQL 13
We additionally launched help in Cloud SQL for PostgreSQL 13, supplying you with entry to the newest options of PostgreSQL whereas letting Cloud SQL deal with the heavy operational lifting. Latest PostgreSQL 13 efficiency enhancements throughout the board embrace enhanced partitioning capabilities, elevated index and vacuum effectivity, and higher prolonged monitoring. Our recent blog has extra particulars, extra options, and directions for getting began. 

Instruments for measuring efficiency of Memorystore for Redis
A preferred open supply in-memory information retailer, Redis is used as a database, cache, and message dealer. Memorystore for Redis is Google Cloud’s absolutely managed Redis service. Memorystore just lately added help for Redis 5.0, in addition to VPC service controls, Redis Auth and TLS encryption. You’ll see how one can measure the performance of Memorystore for Redis, in addition to efficiency tuning greatest practices for reminiscence administration, question optimizations, and extra. 

Cloud-native databases: trusted for enterprise workloads, higher for builders 

Google Cloud Spanner is the one managed relational database with limitless scale, robust consistency, and 99.999% availability. (Take a look at more details on what’s new in Spanner.) In 2020, we introduced new enterprise capabilities for Spanner, together with the final availability of managed backup-restore and 9 new multi-regions of Spanner that provide 99.999% availability. Spanner additionally launched help for brand spanking new SQL capabilities, together with question optimizer versioning, overseas keys, examine constraints, and generated columns. Plus, Spanner launched the C++ shopper library for C++ software builders and local Emulator that permits you to develop and check your functions utilizing a neighborhood emulator, serving to cut back software growth prices. 

Bigtable, our absolutely managed NoSQL database service, now presents managed backups for top enterprise continuity and lets customers add information safety to workloads with minimal administration overhead. Bigtable expanded its help for smaller workloads, letting you create manufacturing situations with one or two nodes per cluster, down from the earlier minimal of three nodes per cluster.

Firestore, which lets cell and internet builders construct apps simply, added new options such because the Rules Playground, letting you check your up to date Firebase Safety guidelines shortly. The Firestore Unity SDK, added this yr, makes it simple for recreation builders to undertake Firestore. As well as, Firestore launched a C++ shopper library and presents a richer question language with a range of new operators, together with not-in, array-contains, not-equal, lower than, larger than, and others. 

That’s a wrap for the yr in databases. Keep tuned to the Google Cloud Blog for up-to-the-minute bulletins, launches, and greatest practices for 2021. 


Gartner, Magic Quadrant for Cloud Database Administration Methods, November 23, 2020, Donald Feinberg, Adam Ronthal, Merv Adrian, Henry Cook dinner, Rick Greenwald

Gartner doesn’t endorse any vendor, services or products depicted in its analysis publications and doesn’t advise know-how customers to pick out solely these distributors with the best scores or different designation. Gartner analysis publications include the opinions of Gartner’s analysis group and shouldn’t be construed as statements of reality. Gartner disclaims all warranties, expressed or implied, with respect to this analysis, together with any warranties of merchantability or health for a specific function



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